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Journal of Agriculture ›› 2020, Vol. 10 ›› Issue (2): 1-6.doi: 10.11923/j.issn.2095-4050.cjas20190700133

Special Issue: 水稻

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Rice Yield in Typical Areas of Guangxi: Components Analysis

Chen Piao1, Li Jiawen2(), Huang Binxiang1, Hu Liting1, Tan Ying3, Pan Xuebiao1   

  1. 1 College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
    2 Liuzhou Meteorological Bureau, Liuzhou 545001, Guangxi, China
    3 College of Humanities and Development Studies, China Agricultural University, Beijing 100193, China
  • Received:2019-07-23 Revised:2019-08-21 Online:2020-02-24 Published:2020-02-24
  • Contact: Jiawen Li E-mail:lzlijiawen@126.com


To explore the relationship between rice yield and yield components in typical areas of Guangxi, based on the yield data of 3 varieties in 4 typical test sites from 2007 to 2016, we analyzed the performance of different locations and varieties, and studied the impact of various factors on yield by different statistical analysis methods. The results of grey correlation analysis showed that: the seed setting rate of the rice varieties in the study area contributed the most to the yield, followed by the number of panicles and the number of grains per panicle, but the differences among the yield factors were not significant; the correlation analysis showed that: the biggest impact on yield was the seed setting rate, followed by the number of grains per panicle and 1000-grain weight; the regression analysis revealed the breeding advantages of the 3 varieties; the path analysis analyzed the differences between the direct and indirect effects of components on yield. According to the results, we propose suggestions for breeding and cultivation of rice varieties in Guangxi as taking the priority of ensuring the seed setting rate, and exploring the balance between effective panicle number and 1000-grain weight.

Key words: Rice in Guangxi, Yield, Yield Components, Grey Correlation Analysis, Correlation Analysis, Path Analysis

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